We present the acquisition of a first-of-its-kind high-resolution multi-platform (ground, airborne, and space-borne) remote sensing-based benchmark dataset for target detection studies. The dataset in
Demos of deploying caffemodel trained for 16000 iterations after the initial training session in the three scenarios outlined in the paper and a minimum confidence score of 30% for detections.
The authors present a KITTI Object Detection dataset (is a part of a larger KITTI dataset) obtained from a VW station wagon for application in mobile robotics and autonomous driving research. They met
